红包扫雷源码平台remote monitoring and leveraging wearable devices and sensors in clinical trials
红包扫雷源码平台byod promises greater patient-centricity by enabling patients to conduct assessments using the convenience and familiarity of their own hardware devices.
icon announces agreement with intel allowing integration of the intel® pharma analytics platform for clinical trials to capture de-identified, objective, high-quality, rich sensory data via sensors and wearable devices.
红包扫雷源码平台wearable devices and sensors offer great potential in the collection of richer data and insights to enhance our understanding of the effects of treatment. they enable the collection of objective measures of intervention effects both in-clinic and in remote free-living settings. however, implementing wearables and sensors brings new challenges to clinical trial conduct, data management and interpretation.
our icon insights will help you to understand and successfully address the complexities of implementation of wearable devices in trial design, execution and reporting.
mhealth device technology has evolved to the point where it is now possible to collect a vast array of physiological data, sleep and activity data, and using advanced analytics to monitor patients in their own home outside of the hospital environment.
In a jointly authored article, ICON and Intel红包扫雷源码平台 explore industry concerns about implementation of this technology in a clinical trial, including Patient Acceptance, Device Suitability, Data Complexity and Insight Generation, Operationalisation, Privacy and Security Issues, and Regulatory Acceptance.
sleep quality and quantity have clinical relevance in alzheimer's disease. review the use of wearables in alzheimer’s disease to provide objective measures of sleep and activity patterns that are not subject to patient recall bias.
红包扫雷源码平台 ICON’s eCOA team and wearables consultants design, implement and manage a technology solution for a global trial across nine countries amongst patients suffering from a neurological disorder
红包扫雷源码平台 ICON uses AI machine learning algorithms to develop new digital biomarkers from raw accelerometer data.
ICON uses Apple Research Kit to deliver an electronic patient reported outcomes instrument using an iPad and a wrist wearable, amongst elderly patients.
approaches to leveraging mobile, wearable and shareable technology in observational research
recommendations on standard approaches for wearable selection, implementation, and derived endpoints to measure changes in activity.
红包扫雷源码平台learn how to measure treatment related changes in sedentary behaviour using wearable technology.